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Proceedings Paper

Tomographic methods for the restoration of LBT images
Author(s): Mario Bertero; Patrizia Boccacci; Serge Correia; Andrea Richichi
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Paper Abstract

The Large Binocular Telescope (LBT) has been designed for providing images with high sensitivity and resolution by means of optical/infrared interferometry. It will require specific methods for data reduction since the image of an astronomical object will be obtained from a set of interferometric images corresponding to different orientations of the baseline. In this paper we first stress an interesting analogy between the images of LBT and the projections in Computer Tomography (CT). Next we use this analogy for extending to LBT some iterative restoration methods developed for CT, such as ML-EM (Maximum Likelihood- -Expectation Maximization), its accelerated version OS-EM (Ordered Subjects--Expectation Maximization) and the improved version RAMLA (Row-Action Maximum Likelihood Algorithm). These iterative methods approximate solutions of the Maximum Likelihood problem in the case of Poisson noise. We also consider iterative methods which have been proposed for solving the same problem in the case of Gaussian noise, in particular the Iterative Space Reconstruction Algorithm and the Projected Landweber method. All these methods are implemented and tested by means of some simulated LBT images.

Paper Details

Date Published: 5 July 2000
PDF: 9 pages
Proc. SPIE 4006, Interferometry in Optical Astronomy, (5 July 2000); doi: 10.1117/12.390248
Show Author Affiliations
Mario Bertero, INFM and Univ. degli Studi di Genova (Italy)
Patrizia Boccacci, INFM and Univ. degli Studi di Genova (Italy)
Serge Correia, Osservatorio Astronomico di Arcetri (Germany)
Andrea Richichi, Osservatorio Astronomico di Arcetri (Germany)


Published in SPIE Proceedings Vol. 4006:
Interferometry in Optical Astronomy
Pierre J. Lena; Andreas Quirrenbach, Editor(s)

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